Markov Brains
I use a variety of digital brains in my research, but the majority uses Markov Brains.
Markov Brains are evolvable digital constructs which are well suited to study the evolution of behavior. These Brains consist of inputs values which flow through gates to produce output values.
Input values can be thought of as data generated by sensors (eyes, ears, etc.). Output values can be thought of as impulses that drive motors (wheels, legs, jaws, etc.) which.
Markov Brains can use hidden nodes to perform complex multi-step operations. Hidden nodes can also allow Markov Brains to be stateful (or to put it another way, to have memory).
For more on Markov Brains, click here.
Markov Brains are evolvable digital constructs which are well suited to study the evolution of behavior. These Brains consist of inputs values which flow through gates to produce output values.
Input values can be thought of as data generated by sensors (eyes, ears, etc.). Output values can be thought of as impulses that drive motors (wheels, legs, jaws, etc.) which.
Markov Brains can use hidden nodes to perform complex multi-step operations. Hidden nodes can also allow Markov Brains to be stateful (or to put it another way, to have memory).
For more on Markov Brains, click here.